head to head · open source
dash vs DeepBI
dash has 24,418 GitHub stars, 2,317 forks, 480 open issues and last shipped 2 days ago. DeepBI has 2,383 stars, 370 forks, 71 open issues and last shipped 23 days ago. dash leads on adoption by 925% (24,418 vs 2,383 stars). dash is written in Python under MIT; DeepBI is written in Python under MIT. dash has attracted 9% as many forks as stars, DeepBI 16%. dash was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
← all 20902 open source comparisons
Side by side
| dash | DeepBI | |
|---|---|---|
| GitHub stars | ★ 24K | ★ 2.4K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-09-18 | 2026-08-28 |
| Forks | ⑂ 2.3K | ⑂ 370 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick dash if
- You weight community size — 24K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick DeepBI if
- You want the DeepBI feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and DeepBI fits your workflow better
About dash
Dash is an open source Python framework for building analytical web applications, data apps, and dashboards without writing JavaScript, aimed at data scientists, analysts, and machine learning engineers who want to turn Python code into interactive browser interfaces.
About DeepBI
DeepBI is an open source Python AI native data analysis platform in the business intelligence and data analytics ecosystem. It uses large language models to help users explore, query, visualize, and share data from connected sources. The MIT licensed project presents itself as a conversational data scientist for data driven decisions.
read the full DeepBI overview →
More in Data & Analytics
Related comparisons
More Business Intelligence & Reporting projects
Compare either of these against the rest of the Business Intelligence & Reporting field.
Frequently asked questions
Is dash or DeepBI more popular?
dash has 24,418 GitHub stars and DeepBI has 2,383. dash has the larger community by that measure.
Are dash and DeepBI free?
Both are open source. dash is licensed under MIT and DeepBI under MIT. Neither carries a licence fee.
What is the difference between dash and DeepBI?
dash is written in Python and DeepBI in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, dash or DeepBI?
Choose dash if you want the larger community (24,418 stars) or its MIT licence terms. Choose DeepBI if its feature set, stack or MIT licence fits better. Both are self-hostable.